| Budget Amount *help |
¥61,230,000 (Direct Cost: ¥47,100,000、Indirect Cost: ¥14,130,000)
Fiscal Year 2017: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2016: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2015: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2014: ¥13,130,000 (Direct Cost: ¥10,100,000、Indirect Cost: ¥3,030,000)
Fiscal Year 2013: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
|
|---|
| Outline of Final Research Achievements |
Recent technological developments in experiments and measurements, which have made it possible to obtain high-dimensional data, mean it is no longer easy to organize natural phenomena. The purpose of our research project is to establish a universal modeling principle driven by spatiotemporal data for the extraction of laws of nature by applying sparse modeling. To do this, we conducted research mainly focusing on the three research subjects, as typical examples, which are scanning tunneling microscopy/spectrum in condensed matter physics, calcium imaging in neuroscience and dynamics of petrogenesis in earth science. They correspond to the extraction of laws of spatial structure formation, that of dynamics of time evolution, and that of spatiotemporal dynamics, respectively. Through the present research with the help of sparse modeling and Bayesian inference, we established a guiding principle of modeling in natural science independent of some details of research fields.
|
